Zobrazeno 1 - 10
of 3 756
pro vyhledávání: '"Li,Jiajia"'
Effective performance profiling and analysis are essential for optimizing training and inference of deep learning models, especially given the growing complexity of heterogeneous computing environments. However, existing tools often lack the capabili
Externí odkaz:
http://arxiv.org/abs/2411.02797
Autor:
Rao, JiaRui, Chen, HaiLiang, Xiong, JianPing, Wang, LuQian, Guo, YanJun, Li, JiaJia, Liu, Chao, Han, ZhanWen, Chen, XueFei
Publikováno v:
The Astronomical Journal, 168:20 (17pp), 2024 July
The measurement of atmospheric parameters is fundamental for scientific research using stellar spectra. The Chinese Space Station Telescope (CSST), scheduled to be launched in 2024, will provide researchers with hundreds of millions of slitless spect
Externí odkaz:
http://arxiv.org/abs/2408.10803
Publikováno v:
The Astrophysical Journal Supplement Series. Published 2024 July 31
With the continuous development of large optical surveys, a large number of light curves of late-type contact binary systems (CBs) have been released. Deriving parameters for CBs using the the WD program and the PHOEBE program poses a challenge. Ther
Externí odkaz:
http://arxiv.org/abs/2408.04896
Benchmark plays a pivotal role in assessing the advancements of large language models (LLMs). While numerous benchmarks have been proposed to evaluate LLMs' capabilities, there is a notable absence of a dedicated benchmark for assessing their musical
Externí odkaz:
http://arxiv.org/abs/2406.15885
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-based fruit detection has been recognized as a crucial component for rob
Externí odkaz:
http://arxiv.org/abs/2407.04711
In the current era of Noisy Intermediate Scale Quantum (NISQ) computing, efficient digital simulation of quantum systems holds significant importance for quantum algorithm development, verification and validation. However, analysis of sparsity within
Externí odkaz:
http://arxiv.org/abs/2405.01250
The development of spectroscopic survey telescopes like Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), Apache Point Observatory Galactic Evolution Experiment and Sloan Digital Sky Survey has opened up unprecedented opportunities
Externí odkaz:
http://arxiv.org/abs/2404.03866
The reconstruction of brain neural network connections occurs not only during the infancy and early childhood stages of brain development, but also in patients with cognitive impairment in middle and old age under the therapy with stimulated external
Externí odkaz:
http://arxiv.org/abs/2403.06794
Effective weed control plays a crucial role in optimizing crop yield and enhancing agricultural product quality. However, the reliance on herbicide application not only poses a critical threat to the environment but also promotes the emergence of res
Externí odkaz:
http://arxiv.org/abs/2403.03390
The first step to apply deep learning techniques for symbolic music understanding is to transform musical pieces (mainly in MIDI format) into sequences of predefined tokens like note pitch, note velocity, and chords. Subsequently, the sequences are f
Externí odkaz:
http://arxiv.org/abs/2312.08931